训练时有无车牌数据会报错

[autm09]

Traceback (most recent call last):
File "train.py", line 165, in
train()
File "train.py", line 134, in train
loss_l, loss_c, loss_landm = criterion(out, priors, targets)
File "xxxx/anaconda3/envs/new/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call
result = self.forward(*input, **kwargs)
File "xxxx/Pytorch_Retina_License_Plate/layers/modules/multibox_loss.py", line 119, in forward
loss_c = F.cross_entropy(conf_p, targets_weighted, reduction='sum')
File "xxxx/anaconda3/envs/new/lib/python3.6/site-packages/torch/nn/functional.py", line 2056, in cross_entropy
return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
File "xxxx/anaconda3/envs/new/lib/python3.6/site-packages/torch/nn/functional.py", line 1871, in nll_loss
ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
RuntimeError: invalid argument 2: non-empty vector or matrix expected at /pytorch/aten/src/THCUNN/generic/ClassNLLCriterion.cu:31
您好，我在照着指引尝试训练时遇到了这样的问题
查了一下，好像是因为负样本在计算loss时会出错，但是我不知道该怎么修改
去掉所有负样本后不再报错了
可是负样本不是专门生成用来提升训练效果的吗？
或者这个错误是因为其他的原因？
求解答，谢谢您

[yangh-zzf-itcast]

multibox_loss
hello你好，请问你解决了嘛？

[zxm97]

multibox_loss
hello你好，请问你解决了嘛？

biubug6/Pytorch_Retinaface@034f4aa#diff-a615ce76ee3f43281156122196c7656acb790693eb5285ca6b92424d1214e014
这个试过吗